98%
921
2 minutes
20
Aims: Systematic Coronary Risk Evaluation Model 2 (SCORE2) was recently developed to predict atherosclerotic cardiovascular disease (ASCVD) in Europe. Whether these models could be used outside of Europe is not known. The objective of this study was to test the validity of SCORE2 in a large Canadian cohort.
Methods And Results: A primary care cohort of persons with routinely collected electronic medical record data from 1 January 2010 to 31 December 2014, in Ontario, Canada, was used for validation. The SCORE2 models for younger persons (YP) were applied to 57 409 individuals aged 40-69 while the models for older persons (OPs) were applied to 9885 individuals 70-89 years of age. Five-year ASCVD predictions from both the uncalibrated and low-risk region recalibrated SCORE2 models were evaluated. The C-statistic for SCORE2-YP was 0.74 in women and 0.69 in men. The uncalibrated SCORE2-YP overestimated risk by 17% in women and underestimated by 2% in men. In contrast, the low-risk region recalibrated model demonstrated worse calibration, overestimating risk by 100% in women and 36% in men. The C-statistic for SCORE2-OP was 0.64 and 0.62 in older women and men, respectively. The uncalibrated SCORE2-OP overestimated risk by more than 100% in both sexes. The low-risk region recalibrated model demonstrated improved calibration but still overestimated risk by 60% in women and 13% in men.
Conclusion: The performance of SCORE2 to predict ASCVD risk in Canada varied by age group and depended on whether regional calibration was applied. This underscores the necessity for validation assessment of SCORE2 prior to implementation in new jurisdictions.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11025037 | PMC |
http://dx.doi.org/10.1093/eurjpc/zwad352 | DOI Listing |
Diabetes Obes Metab
September 2025
Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Background And Aims: Estimating the risk of cardiovascular disease (CVD) complications in type 2 diabetes mellitus (T2DM) patients is critical in the medical decision-making process. This study aimed to use a machine learning technique combined with proteomics to develop personalized models for predicting CVD in patients with T2DM.
Methods And Results: In total, 874 patients with T2DM and 2,920 Olink proteins obtained from the UK Biobank were used in this study.
Eur J Prev Cardiol
August 2025
Department of Pharmacology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, 41-808, Poland.
Aims: To compare the estimates provided by the SCORE2/SCORE2-OP charts with the estimates obtained by using SCORE2 and SCORE2-OP risk model equations.
Methods: Patients were recruited from 16 major Polish administrative regions proportionally to the number of inhabitants through primary care practices. Patients with risk parameters exceeding permitted values and with comorbidities putting them in the very high-risk category were excluded, and a total of 6,621 patients were studied in this analysis.
Biomedicines
August 2025
Institute of Biology, University of Szczecin, 70-453 Szczecin, Poland.
While ART effectively suppresses HIV viremia, many PLWH exhibit persistent immune dysfunction. This study aimed to assess immune recovery and immune exhaustion (PD-1/PD-L1 expression) in newly diagnosed versus long-term ART-treated individuals. We analyzed 79 PLWH: 52 newly diagnosed individuals (12-month follow-up) and 27 long-term-treated patients (Ukrainian refugees).
View Article and Find Full Text PDFJ Clin Endocrinol Metab
August 2025
Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy.
Context: Klinefelter Syndrome (KS) has a higher propensity for metabolic disorders and increased cardiovascular risk. The prevalence and the characteristics of metabolic dysfunction-associated steatotic liver disease (MASLD) have not been described yet in KS.
Objective: We aim to study the relationship between hypogonadism, liver diseases and cardiovascular risk using the unique KS model.
J Am Geriatr Soc
August 2025
Institute for Neurosciences of Montpellier (INM), Inserm, University of Montpellier, Montpellier, France.
Background: Cardiovascular diseases are the leading cause of death worldwide, particularly in older adults. While the Systematic Coronary Risk Evaluation 2-Older Persons (SCORE2-OP) model estimates 10-year cardiovascular risk in this population, its validation in general European cohorts remains limited. Given growing relationships between sleep disturbances and cardiovascular risk, we aimed to validate SCORE2-OP in a French cohort and assess the incremental value of excessive daytime sleepiness (EDS).
View Article and Find Full Text PDF